This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2844) Mobile Health (mhealth) (3174) Neurology and Neurosciences (232) Usability of Apps and User Perceptions of mHealth (1089) Neurotech Innovations, Diagnostic Tools and Techniques (44)

Published on in Vol 6, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29509, first published .
Key Drivers and Facilitators of the Choice to Use mHealth Technology in People With Neurological Conditions: Observational Study

Key Drivers and Facilitators of the Choice to Use mHealth Technology in People With Neurological Conditions: Observational Study

Key Drivers and Facilitators of the Choice to Use mHealth Technology in People With Neurological Conditions: Observational Study

Authors of this article:

Sara Simblett1 Author Orcid Image ;   Mark Pennington1 Author Orcid Image ;   Matthew Quaife2 Author Orcid Image ;   Evangelia Theochari3 Author Orcid Image ;   Patrick Burke4 Author Orcid Image ;   Giampaolo Brichetto4, 5 Author Orcid Image ;   Julie Devonshire4 Author Orcid Image ;   Simon Lees4 Author Orcid Image ;   Ann Little4, 6 Author Orcid Image ;   Angie Pullen4, 7 Author Orcid Image ;   Amanda Stoneman4, 7 Author Orcid Image ;   Sarah Thorpe4 Author Orcid Image ;   Janice Weyer4 Author Orcid Image ;   Ashley Polhemus8 Author Orcid Image ;   Jan Novak1, 8, 9 Author Orcid Image ;   Erin Dawe-Lane1 Author Orcid Image ;   Daniel Morris1 Author Orcid Image ;   Magano Mutepua1 Author Orcid Image ;   Clarissa Odoi1, 10 Author Orcid Image ;   Emma Wilson1 Author Orcid Image ;   Til Wykes1 Author Orcid Image
Article Authors Cited by (7) Tweetations (4) Metrics

Journals

  1. Rodriguez C, Mitchell J. Use of Stated Preference Methods in HIV Treatment and Prevention Research in the United States: A Systematic Review. AIDS and Behavior 2023;27(7):2328 View
  2. Simblett S, Pennington M, Quaife M, Siddi S, Lombardini F, Haro J, Peñarrubia-Maria M, Bruce S, Nica R, Zorbas S, Polhemus A, Novak J, Dawe-Lane E, Morris D, Mutepua M, Odoi C, Wilson E, Matcham F, White K, Hotopf M, Wykes T. Patient preferences for key drivers and facilitators of adoption of mHealth technology to manage depression: A discrete choice experiment. Journal of Affective Disorders 2023;331:334 View
  3. Zolfaqari Z, Ayatollahi H, Ranjbar F, Abasi A. Acceptance and use of mobile health technology in post-abortion care. BMC Health Services Research 2024;24(1) View
  4. Gustafson Hedov E, Nyberg F, Gustafsson S, Li H, Gisslén M, Sundström J. Person-Centered Web-Based Mobile Health System (Symptoms) for Reporting Symptoms in COVID-19 Vaccinated Individuals: Observational Study of System, Users, and Symptoms. JMIR Formative Research 2024;8:e57514 View
  5. Nowels M, McDarby M, Brody L, Kleiman E, Sagui Henson S, Castro Sweet C, Kozlov E. Predictors of Engagement in Multiple Modalities of Digital Mental Health Treatments: Longitudinal Study. Journal of Medical Internet Research 2024;26:e48696 View
  6. Pinilla Amaya P, Poveda Jiménez S, Vargas Contreras M, Beltrán Benedetti J, Martínez Torres L, Pérez Camargo N, Jauregui Villamizar L, Acelas-Gonzalez G, Gomez-Suarez M. Utilidad de las herramientas tecnológicas en la sospecha clínica y seguimiento de esclerosis múltiple. Acta Neurológica Colombiana 2024;40(4) View
  7. Nouwens S, Marceta S, Bui M, van Dijk D, Groothuis-Oudshoorn C, Veldwijk J, van Til J, de Bekker-Grob E. The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review. PharmacoEconomics 2025 View